The cloned voice is far from the reference speaker
Dose source_se need to be from audio of the same person's voice as source audio to inference to get close or better clone quality?  I got the following warnings, could any of those warnings make the clone similarity to drastically degrade ?
1. UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.
2. UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
3. UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED

![image](https://github.com/myshell-ai/OpenVoice/assets/128800888/dff1a5c1-84f7-4c32-ba71-96a82a23c6a8)
 > Dose source_se need to be from audio of the same person's voice as source audio to inference to get close or better clone quality?

I tried to use same (base-speaker) person's voice/mp3 for getting "source_se/tone color embedding" and "source audio to inference" , and a third male voice/mp3 as reference speaker. The resulting cloned audio, which sometime is female with a bit noise, is still far from the reference male audio.  Very Bizarred !

so, to my conclusion from the experiment, the source_se and source audio to inference don't have to be from same person, or at least, it doesn't matter towards affecting/improving clone similarity.

just a couplel of sents to share ... have fun

Sean   
Hi, 

I am trying out Open Voice (v1), and it mechanically worked, but the cloned voice is far from its reference speaker. Sometimes, I gave a male reference speaker mp3, and got back a female voice. 

I run the code from "demo_part1.ipynb" and I only changed reference speaker's mp3. 

I suspect the torch/embedding version is not compatible, and I am using:
     (Speech2Rag) OpenVoice> pip show torch
     Name: torch
     Version: 2.1.2+cu121
     Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
     Home-page: https://pytorch.org/
     Author: PyTorch Team
     Author-email: packages@pytorch.org
     License: BSD-3
     Location: C:\Users\Sean2092\miniconda3\Lib\site-packages
     Requires: filelock, fsspec, jinja2, networkx, sympy, typing-extensions
     Required-by: pytorch-lightning, torchaudio, torchmetrics, torchvision

Could someone with success and experience help out? I am sure I got something, libs or settings, incorrect, but I cannot figure out what that might be. Pls help. 

Thanks a lot, 
Sean